Giskard alternatives for safety and bias evaluation

If you’re looking for alternatives to Giskard for LLM/application safety and bias evaluation, here are some solid options depending on what you need:

Open-source / developer-friendly

• OpenAI Evals
  Good for custom eval pipelines and regression testing. Best if you want to build your own benchmark suite.
• Ragas
  Strong for RAG evaluation, especially faithfulness, context relevance, and answer relevance.
• DeepEval
  Popular for LLM app testing with ready-made metrics for correctness, toxicity, hallucination, and more.
• TruLens
  Focused on evaluation and feedback functions for LLM apps, including groundedness and relevance.
• LangSmith
  Great for tracing, debugging, and evaluation in LangChain-based apps.
• Promptfoo
  Useful for prompt testing, red teaming, and comparing models/prompts.
• Arize Phoenix
  Strong observability plus eval workflows for LLMs, including drift and quality analysis.

Safety / policy / red-teaming focused

• Lakera
  More focused on prompt injection, jailbreaks, and LLM security.
• Confident AI
  Eval platform with emphasis on reliability testing and LLM QA.
• Hugging Face Open LLM Leaderboard + eval tooling
  Useful for benchmark-style safety and capability comparisons.
• Microsoft Responsible AI Dashboard
  Better for classical ML fairness/bias explainability than LLM-specific safety, but still useful.

Bias / fairness focused

• Fairlearn
  Excellent for fairness metrics, disparity analysis, and mitigation in traditional ML.
• Aequitas
  Bias audit toolkit for ML models.
• What-If Tool
  Interactive model inspection for fairness and performance analysis.
• IBM AI Fairness 360 (AIF360)
  One of the most comprehensive fairness toolkits.

If you want a hosted enterprise platform

• Weights & Biases Weave
  Good for tracing and evals in production workflows.
• Humanloop
  Strong for prompt testing, evals, and human review loops.
• Scale / Alignment Lab
  More enterprise and safety-oriented, especially for model assessment workflows.

Quick recommendation by use case

• LLM app evals + RAG: Ragas, DeepEval, TruLens, Arize Phoenix
• Prompt injection / jailbreak testing: Promptfoo, Lakera
• Bias/fairness audits for ML: Fairlearn, AIF360, Aequitas
• Production observability + evals: LangSmith, Phoenix, Weave
• Custom benchmark/regression tests: OpenAI Evals, DeepEval

If you want, I can also give you:

1. a side-by-side comparison table,
2. the best open-source alternatives only, or
3. a recommendation based on your stack (LangChain, RAG, fine-tuned model, etc.).